Results 11 to 20 of about 457,590 (279)

Synthetic CT generation for pelvic cases based on deep learning in multi-center datasets [PDF]

Radiation Oncology
Background and purpose To investigate the feasibility of synthesizing computed tomography (CT) images from magnetic resonance (MR) images in multi-center datasets using generative adversarial networks (GANs) for rectal cancer MR-only radiotherapy ...
Xianan Li, Lecheng Jia, Fengyu Lin, Fan Chai, Tao Liu, Wei Zhang, Ziquan Wei, Weiqi Xiong, Hua Li, Min Zhang, Yi Wang   +10 more
doaj   +2 more sources

Detailed assessment of axial and peripheral entheses and joints in axial spondyloarthritis and psoriatic arthritis patients treated with ixekizumab (DAPHNE): design of a 2-year phase IV trial applying whole-body MRI, MRI-based synthetic CT, and CT [PDF]

BMC Rheumatology
Background Ixekizumab, an interleukin 17A inhibitor, has demonstrated efficacy in improving clinical and patient-reported outcomes in axial spondyloarthritis (axSpA) and psoriatic arthritis (PsA).
Simone Tromborg Willesen, Jakob Møllenbach Møller, Susanne Juhl Pedersen, Mikkel Østergaard   +3 more
doaj   +2 more sources

Facilitating MR-Guided Adaptive Proton Therapy in Children Using Deep Learning-Based Synthetic CT [PDF]

International Journal of Particle Therapy, 2021
Purpose: To determine whether self-attention cycle-generative adversarial networks (cycle-GANs), a novel deep-learning method, can generate accurate synthetic computed tomography (sCT) to facilitate adaptive proton therapy in children with brain tumors ...
Chuang Wang, PhD, Jinsoo Uh, PhD, Thomas E. Merchant, DO, PhD, Chia-ho Hua, PhD, Sahaja Acharya, MD   +4 more
doaj   +1 more source

Abdominopelvic MR to CT registration using a synthetic CT intermediate

Journal of Applied Clinical Medical Physics, 2022
AbstractAccurate coregistration of computed tomography (CT) and magnetic resonance (MR) imaging can provide clinically relevant and complementary information and can serve to facilitate multiple clinical tasks including surgical and radiation treatment planning, and generating a virtual Positron Emission Tomography (PET)/MR for the sites that do not ...
Heo, Jin Uk, Zhou, Feifei, Jones, Robert, Zheng, Jiamin, Song, Xin, Qian, Pengjiang, Baydoun, Atallah, Traughber, Melanie S., Kuo, Jung‐Wen, Helo, Rose Al, Thompson, Cheryl, Avril, Norbert, DeVincent, Daniel, Hunt, Harold, Gupta, Amit, Faraji, Navid, Kharouta, Michael Z., Kardan, Arash, Bitonte, David, Langmack, Christian B., Nelson, Aaron, Kruzer, Alexandria, Yao, Min, Dorth, Jennifer, Nakayama, John, Waggoner, Steven E., Biswas, Tithi, Harris, Eleanor, Sandstrom, Susan, Traughber, Bryan J., Muzic, Raymond F.   +30 more
openaire   +2 more sources

Automatic online quality control of synthetic CTs [PDF]

Medical Imaging 2020: Image Processing, 2020
Accurate MR-to-CT synthesis is a requirement for MR-only workflows in radiotherapy (RT) treatment planning. In recent years, deep learning-based approaches have shown impressive results in this field. However, to prevent downstream errors in RT treatment planning, it is important that deep learning models are only applied to data for which they are ...
van Harten, Louis D., Wolterink, Jelmer M., Verhoeff, Joost J. C., Išgum, Ivana   +3 more
openaire   +2 more sources

Conversion from MRI to CT Using AI for Fractures

Journal of the Belgian Society of Radiology, 2021
Synthetic CT images reconstructed from MR images is an upcoming artificial intelligence (AI) tool for radiologists. It has been validated for detection of erosions at the sacroiliac joints and validation for other applications is ongoing – with high ...
Frederiek Laloo, Lennart Jans
doaj   +1 more source

Correction: 3D FusionNet for synthetic CT based lung cancer segmentation [PDF]

Scientific Reports
Chiranjib Parida, Saurabh Bilgaiyan, Santwana Sagnika, Satyabrata Roy, Ankur Pandey   +4 more
doaj   +2 more sources

MRI‐based synthetic CT in the detection of knee osteoarthritis: Comparison with CT

Journal of Orthopaedic Research, 2023
AbstractMagnetic resonance Imaging is the gold standard for assessment of soft tissues; however, X‐ray‐based techniques are required for evaluating bone‐related pathologies. This study evaluated the performance of synthetic computed tomography (sCT), a novel MRI‐based bone visualization technique, compared with CT, for the scoring of knee ...
Saeed Arbabi, Wouter Foppen, Willem Paul Gielis, Marijn van Stralen, Mylène Jansen, Vahid Arbabi, Pim A. de Jong, Harrie Weinans, Peter Seevinck   +8 more
openaire   +5 more sources

SynthRAD2023 Grand Challenge dataset: Generating synthetic CT for radiotherapy [PDF]

Medical Physics, 2023
AbstractPurposeMedical imaging has become increasingly important in diagnosing and treating oncological patients, particularly in radiotherapy. Recent advances in synthetic computed tomography (sCT) generation have increased interest in public challenges to provide data and evaluation metrics for comparing different approaches openly.
Thummerer, Adrian, van der Bijl, Erik, Galapon, Arthur Jr, Verhoeff, Joost JC, Langendijk, Johannes A, Both, Stefan, Cornelis, Berg, AT van den, Maspero, Matteo   +8 more
openaire   +6 more sources

Synthetic MRI Generation from CT Scans for Stroke Patients

BioMedInformatics, 2023
CT scans are currently the most common imaging modality used for suspected stroke patients due to their short acquisition time and wide availability. However, MRI offers superior tissue contrast and image quality.
Jake McNaughton, Samantha Holdsworth, Benjamin Chong, Justin Fernandez, Vickie Shim, Alan Wang   +5 more
doaj   +1 more source